Methods and systems generally include determining coordinated activity in social media movements on a social media channel. The method includes identifying a plurality of markers of coordinated activity through analysis of campaign signals from the social media movements. The plurality of markers includes a network dimension for representing how accounts are connected, a temporal dimension for representing patterns of messages over time, and a semantic dimension for representing a diversity of topics and meanings of the social media movements. The method includes analyzing the campaign signals indicative of the coordinate activity of the social media movements in the social media campaign including determining users within the social media campaign, determining clusters of users that make up the social media campaign and determining relationships between the users participating in the social media movements, and determining propagation patterns across clusters of users of the social media campaign.
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2. The method of claim 1, wherein the identifying the plurality of markers includes evaluating a degree to which the coordinated activity of the social media campaign is concentrated in the clusters of users.
3. The method of claim 1, wherein the coordinated activity of the social media campaign is determined from user actions within the social media movements in the social media campaign.
4. The method of claim 1, wherein the identifying the plurality of markers includes evaluating a degree to which the coordinated activity of the social media campaign is distributed among the clusters of users.
5. The method of claim 1, wherein the plurality of markers includes a day peakedness marker that indicates a percentage of the coordinated activity of the social media campaign on a day identified as most active of the social media campaign.
6. The method of claim 1, wherein the plurality of markers includes a commitment indicator that is computed by averaging a number of subsequent participation actions for each of a plurality of participants in the coordinated activity of the social media campaign.
7. The method of claim 6, wherein the plurality of markers includes a post regularity commitment indicator that represents a deviation of commitment to participation by a user from natural human attention patterns.
8. The method of claim 1, wherein the identifying the plurality of markers includes determining the semantic diversity score for the coordinated activity of the social media campaign by assigning messages in the campaign to topics and calculating a diversity of the topics on atopic distance scale that facilitates determining the semantic diversity score.
9. The method of claim 1, wherein the identifying the plurality of markers includes computing temporal alignment of campaign-related actions for the users in the social media campaign by comparing temporal sequences of the campaign-related actions.
11. The system of claim 10, wherein the identifying the plurality of markers includes evaluating a degree to which the coordinated activity of the social media campaign is concentrated in the clusters of users.
12. The system of claim 10, wherein the coordinated activity of the social media campaign is determined from user actions within the social media movements in the social media campaign, wherein the coordinated activity includes a relatively large number of accounts on one or more of the social media channels controlled by a relatively small number of coordinated entities resulting in a relative lack of diversity of similar accounts on the one or more social medial channels controlled by uncoordinated users.
13. The system of claim 10, wherein the identifying the plurality of markers includes evaluating a degree to which the coordinated activity of the social media campaign is distributed among the clusters of users.
14. The system of claim 10, wherein the plurality of markers includes a day peakedness marker that indicates a percentage of the coordinated activity of the social media campaign on a day identified as most active of the social media campaign.
15. The system of claim 10, wherein the plurality of indicators includes a commitment indicator that is computed by averaging a number of subsequent participation actions for each of a plurality of participants in the coordinated activity of the social media campaign.
16. The system of claim 15, wherein the plurality of indicators includes a post regularity commitment indicator that represents a deviation of commitment to participation by a user from natural human attention patterns.
17. The system of claim 10, wherein the identifying the plurality of markers through analysis of campaign signals includes determining the semantic diversity score for the coordinated activity of the social media campaign, wherein determining a semantic diversity score includes assigning messages in the campaign to topics and calculating a diversity of the topics on a topic distance scale that facilitates determining the semantic diversity score.
18. The system of claim 10, wherein the identifying the plurality of markers includes computing temporal alignment of campaign-related actions for the users in the social media campaign by comparing temporal sequences of the campaign-related actions.
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June 16, 2019
August 9, 2022
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